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Fairness

3337 directly classified papers

Papers per year

Papers

HateModerate: Testing Hate Speech Detectors against Content Moderation Policies NAACL 2024
ValueBench: Towards Comprehensively Evaluating Value Orientations and Understanding of Large Language Models ACL 2024
A Bayesian Quantification of Aporophobia and the Aggravating Effect of Low–Wealth Contexts on Stigmatization NAACL 2024
Connecting the Dots in News Analysis: Bridging the Cross-Disciplinary Disparities in Media Bias and Framing NAACL 2024
GRASP: A Disagreement Analysis Framework to Assess Group Associations in Perspectives NAACL 2024
Auditing Local Explanations is Hard NIPS 2024
The Bias Amplification Paradox in Text-to-Image Generation NAACL 2024
Implications of Distance over Redistricting Maps: Central and Outlier Maps AAAI 2024
Unveiling the Bias Impact on Symmetric Moral Consistency of Large Language Models NIPS 2024
FairJob: A Real-World Dataset for Fairness in Online Systems NIPS 2024
QUEEREOTYPES: A Multi-Source Italian Corpus of Stereotypes towards LGBTQIA+ Community Members COLING 2024
Blind Spots and Biases: Exploring the Role of Annotator Cognitive Biases in NLP NAACL 2024
On the Effectiveness of Adversarial Robustness for Abuse Mitigation with Counterspeech NAACL 2024
EcoSpeak: Cost-Efficient Bias Mitigation for Partially Cross-Lingual Speaker Verification NAACL 2024
Capturing Perspectives of Crowdsourced Annotators in Subjective Learning Tasks NAACL 2024
Monoculture in Matching Markets NIPS 2024
A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks NIPS 2024
The Impact of Differential Privacy on Group Disparity Mitigation NAACL 2024
SocialCounterfactuals: Probing and Mitigating Intersectional Social Biases in Vision-Language Models with Counterfactual Examples CVPR 2024
What Sketch Explainability Really Means for Downstream Tasks? CVPR 2024
MedSafetyBench: Evaluating and Improving the Medical Safety of Large Language Models NIPS 2024
BeanCounter: A low-toxicity, large-scale, and open dataset of business-oriented text NIPS 2024
Don’t Go To Extremes: Revealing the Excessive Sensitivity and Calibration Limitations of LLMs in Implicit Hate Speech Detection ACL 2024
DAIC-WOZ: On the Validity of Using the Therapist’s prompts in Automatic Depression Detection from Clinical Interviews NAACL 2024
Identifying Fairness Issues in Automatically Generated Testing Content NAACL 2024